Ground Tactical Vehicle Prognostics and Health Management

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$99,979.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
M67854-11-C-6517
Agency Tracking Number:
N102-111-0853
Solicitation Year:
2010
Solicitation Topic Code:
N102-111
Solicitation Number:
2010.2
Small Business Information
Qualtech Systems, Inc.
100 Great Meadow Rd., Suite 603, Wethersfield, CT, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
808837496
Principal Investigator:
Sudipto Ghoshal
Vice President, Engineeri
(869) 761-9341
sudipto@teamqsi.com
Business Contact:
Marta Olenick
Manager, Finance&Admin
(860) 761-9362
marta@teamqsi.com
Research Institution:
Stub




Abstract
A practical and efficient solution for PHM in Military"s Ground Tactical Vehicles can be realized via combining data-driven prognostic/forecasting and analytic techniques with a dependency model-based HM scheme. QSI proposes a PHM process that is generic and repeatable across application domains in conjunction with a unified prognostics modeling framework for developing PHM solution for complex engineering systems. This approach facilitates development and customization of PHM solution in a modular fashion. Thus large parts of a solution developed for one system/platform can be reused for a similar system/platform. Utilization of dependency model-based HM techniques enables the solution to perform efficient"root cause identification", and thereby forecast component/hardware level failures with minimal ambiguity. A notable capability of the scheme is estimation and forecasting of mission success probability for individual vehicular systems and the platform. The approach leverages prognostic outcomes in providing HM decision support in the areas of inspection and maintenance scheduling, parts and spares provisioning, and guided troubleshooting. A self-evolving knowledge-base will be incorporated in the solution for its automatic maturation and adaptation. Such capabilities make the solution an enabler of Autonomic Logistics and CBM+ objectives. The envisioned PHM solution will be implemented on QSI"s TEAMS diagnostic design and analytic platform.

* information listed above is at the time of submission.

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